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US8965095B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8965095-B2 |
| Application number | US-201313906110-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 30, 2013 |
| Priority date | May 30, 2013 |
| Publication date | Feb 24, 2015 |
| Grant date | Feb 24, 2015 |
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More than two acquired energy or spectral M bins are used for photon counting detectors in a CT system. In the pre-reconstruction data decomposition, the measured photo counts in the M acquired spectral bines are combined into a predetermined fewer number of processed or weighted spectral bines N, which is at least two in number and represents a number of selected basic materials. Since the N basis materials are selected in the imaged subject where N<M, the noise is balanced in the pre-reconstruction data decomposition. In some more detail, after the photon counts n(E) is acquired in each of the M spectral bins as indicated by E=1 to M at each of the detector units for every view, the M acquired spectral bins is combined into the N processed spectral bins so that the photon counts in the N processed spectral bins are substantially balanced to have a least number of differences among the N processed spectral bins. Subsequently, the substantially balanced photon counts in each of the processed spectral bins are related to the material thickness L(i), where i=1 to M. Using a coordinate pursuit technique, the non-zero L(i) is found. The above is repeated for each of the detector units and for all views before reconstructing images based upon the non-zero thickness.
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What is claimed is: 1. A method of noise balancing in spectral data, comprising: acquiring from a subject spectral data including a first set of photon counts in a first number of at least three acquired spectral bins according to fixed thresholds for a predetermined number of views each having a family of ray-sums; combining the first set of the photon counts in the acquired spectral bins into a second set of photon counts in a second number of two or more processed spectral bi…
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